|Location:||Belfast, Work from home|
|Salary:||From £80,000 Competitive, commensurate with experience|
|Hours:||Full Time, Part Time|
|Placed On:||7th October 2021|
|Closes:||6th December 2021|
Location: Belfast or Remote (UK).
Benefits: Vitality Health Insurance, Towergate wellness cash benefit, Pension scheme (10% via 5% match), Income protection + Life cover (4x salary)
About Zenith Ai
Zenith is building a software Bio Studio that mobilises best-in-class machine learning for future Biotechnology. Our vision is to be the standard for end-to-end AI creation that delivers in the real world. Founded in 2020 by a team of experienced and successful AI entrepreneurs, our team has rapidly progressed the development of our core software which enables non-experts to rapidly build and deploy purpose-built AI applications. At Zenith the customer use-case comes first and to achieve this, AI requires tooling that is wholly intuitive and light-years ahead of those in use today.
As a stealth-mode startup, recently acquired, our online presence is currently limited but we gladly fill in detail throughout the application process.
About the Role
Zenith wishes to recruit Machine Learning Researchers / ML Research Scientists at various levels to join our team. You will have a curious and diligent mind: an action-oriented problem solver with a drive to raise the technical bar, deliver results and innovate. You will be comfortable challenging the norm; always on the lookout for new ideas, assessing their value, effectively communicating, implementing and improving them.
You will have a PhD from a leading research group with a major emphasis on Machine Learning or Applied Machine Learning. You will be equally content prototyping using new ideas, as well as operating within the rigour of making solutions production-ready. Having excellent interpersonal skills and enjoying working in a highly iterative, agile, and collaborative team environment, you will be comfortable working within a team of the brightest minds, relishing the opportunity to solve complex problems together, learning from and sharing knowledge as peers.
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